Discriminant Analysis (DA) for evolutionary inference (Qin, X. et al, 2020, <doi:10.22541/au.159256808.83862168>), especially for population genetic structure and community structure inference. This package incorporates the commonly used linear and non-linear, local and global supervised learning approaches (discriminant analysis), including Linear Discriminant Analysis of Kernel Principal Components (LDAKPC), Local (Fisher) Linear Discriminant Analysis (LFDA), Local (Fisher) Discriminant Analysis of Kernel Principal Components (LFDAKPC) and Kernel Local (Fisher) Discriminant Analysis (KLFDA). These discriminant analyses can be used to do ecological and evolutionary inference, including demography inference, species identification, and population/community structure inference.
Version: 1.2.0 Depends: R (≥ 3.5) Imports: adegenet, lfda, MASS, kernlab, klaR, plotly, rARPACK, grDevices, stats, utils Suggests: knitr, testthat, rmarkdown Published: 2021-07-12 DOI: 10.32614/CRAN.package.DA Author: Xinghu Qin [aut, cre, cph] Maintainer: Xinghu Qin <qinxinghu at gmail.com> BugReports: https://github.com/xinghuq/DA/issues License: GPL-3 URL: https://xinghuq.github.io/DA/index.html NeedsCompilation: no SystemRequirements: GNU make Materials: README NEWS CRAN checks: DA results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=DA to link to this page.
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